code: def get_class(model_args):
      if model_args in RINNA:
          return "rinna"
      elif model_args in CYBERAGENT:
          return "cyberagent"
      elif model_args in OTHERS:
          return ""
      else:
          raise NotImplementedError
  
file_path: lm-evaluation-harness/scripts/make_leaderboard.py
imports: import os
  from pathlib import Path
  import json
  import pandas
  import blobfile
label_desc: Use image node_id 1 for calling a global function with example usage: get_class(model_args) and returns: str, str, str